File size: 2,432 Bytes
15d3c46 d1ae791 15d3c46 d1ae791 15d3c46 d1ae791 15d3c46 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | ---
library_name: transformers
license: mit
base_model: roberta-large
tags:
- generated_from_keras_callback
model-index:
- name: relationship_classifier_multi_retrained
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# relationship_classifier_multi_retrained
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on a dataset from OYM 1:1 vs. 2:1 early literacy online tutoring.
It achieves the following results on the evaluation set:
- Train Loss: 0.2570
- Validation Loss: 0.3345
- Train Accuracy: 0.8891
- Epoch: 2
## Model description
This model is a retrained version of https://huggingface.co/StanfordSCALE/relationship_classifier_multi that corrects for overfitting in the previous model.
## Intended uses & limitations
This model was trained on online literacy tutoring data for grades K-2. Generalization beyond this context is uncertain.
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 1e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 454, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 50, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.8833 | 0.6258 | 0.7781 | 0 |
| 0.4531 | 0.3678 | 0.8713 | 1 |
| 0.2570 | 0.3345 | 0.8891 | 2 |
### Framework versions
- Transformers 4.51.3
- TensorFlow 2.19.0
- Datasets 4.8.5
- Tokenizers 0.21.4
|